Pith. sign in

Paper Citation Record · LEDGER

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions

As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2507.00648.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.00648 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:35.750104Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1dc875b-8186-498c-824c-c663f21c1495 · outbound

This paper cites Ar- trackv2: Prompting autoregressive tracker where to look and how to describe.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Ar- trackv2: Prompting autoregressive tracker where to look and how to describe

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:43.220029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.504110Z digest=sha256:af9a497539ec65a3a54c12caf19d96e3e37e44c06e5f7cb38b24456eb8a22c5d

Observation 9f70ccd9-49a9-4ca4-be4f-210335b202e6 · outbound

This paper cites Learning discriminative model prediction for track- ing.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning discriminative model prediction for track- ing

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:43.095342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.575812Z digest=sha256:7e8468c44307728adf44314de4b7aacc1cfc1294846346f3863947ef143e535c

Observation 8c52a87f-0655-4e70-85f0-6b02fb0f7230 · outbound

This paper cites Hiptrack: Vi- sual tracking with historical prompts.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Hiptrack: Vi- sual tracking with historical prompts

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.901577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.646933Z digest=sha256:9da514f0b004820e11bd2d964118057814c8ffd9bb2d00b970a9bdee11548066

Observation c02dbf67-9acd-4a32-a701-dcf88eaf8762 · outbound

This paper cites Robust object modeling for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust object modeling for visual tracking

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.787939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.703666Z digest=sha256:3f225c7f6825e337a35bfa63500f209d14289d410a075ee08dcdfb35716d7b75

Observation b7452db8-4296-4d91-b985-01de2bbe6e88 · outbound

This paper cites Seqtrack: Sequence to sequence learning for visual object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Seqtrack: Sequence to sequence learning for visual object tracking

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.638867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.804841Z digest=sha256:0f2540b65e825ce8d033c8aa576481aef17f7c178aff0c4c067d5a16eb562d05

Observation 15b173e0-7f08-4a0e-bb81-43f577381f90 · outbound

This paper cites Siamese box adaptive network for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamese box adaptive network for visual tracking

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.511730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:31.897299Z digest=sha256:34f8c442ba31d6f907d41d21901754acca111388ea9b37c3229dbe42a85978ec

Observation 97a7c70a-8cbf-4267-b39c-74397aa22f61 · outbound

This paper cites Optimal transport for domain adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Optimal transport for domain adaptation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.380191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.002582Z digest=sha256:d15781ac4b29e7480b148047857f8d305b16fd4a945052bd06368c1535c91076

Observation a540c1e8-d612-4819-837d-acf05bb59648 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sinkhorn distances: Lightspeed computation of optimal transport

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.227629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.103667Z digest=sha256:fbce9b33b432db4b628171cf93bab561c68de2b3ea383ce16b09d19718ca457d

Observation 15ace565-163a-4ed3-b4dc-02256c3a09bc · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:32.179540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:32.179540Z digest=sha256:84bc437b0c0ea584f66536697819a97dcd44444db07ed8fe360b1d8a8cd73eaa

Observation 36bbcc71-2e31-4e6a-b0b9-5b536823b118 · outbound

This paper cites Lasot: A high-quality benchmark for large-scale single object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lasot: A high-quality benchmark for large-scale single object tracking

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:42.096435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.280681Z digest=sha256:599f21d1d1143929c92ff67179d8728ef4ee89689da6ab5697268b2290b1c41d

Observation dbcf02bd-3685-4971-b545-35b6ce6abcc0 · outbound

This paper cites Highlightnet: Highlighting low-light potential features for real-time UA V tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Highlightnet: Highlighting low-light potential features for real-time UA V tracking

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.951151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.397389Z digest=sha256:693a9a27b210f6bdae2d0159cd27b4c8c347fa96034655f6c819478bdd12b5b7

Observation b7d22c1f-c1cd-459d-bb18-c7da39ede3ec · outbound

This paper cites SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SAM-DA: UA V Tracks Anything at Night with SAM-Powered Domain Adaptation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.802794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.495068Z digest=sha256:6eaeef2f585a828eb80c7113551fb7ae8eb44dc46597128d56b97e62ace17a9e

Observation a14631d6-3f7a-421b-a0c4-1d33047daff7 · outbound

This paper cites Expressive text-to-image generation with rich text.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Expressive text-to-image generation with rich text

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.649855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.580932Z digest=sha256:7645e1d34239e3a4ff2c24e5fbd46fed1915c62a79811d2e7399b7a437812581

Observation 33623773-9dcd-4299-b731-26c008914538 · outbound

This paper cites Separable self and mixed attention transformers for efficient object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Separable self and mixed attention transformers for efficient object tracking

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.499114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.662663Z digest=sha256:bd8f80097de752f79cf98b261a3917db044e41ea64c6de6493849e33babc5bd8

Observation 1b312253-c7e6-4757-80b0-d17917c513e2 · outbound

This paper cites Visualizing data using t-sne journal of machine learning research.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visualizing data using t-sne journal of machine learning research

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.298593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.745879Z digest=sha256:9c41889e513916669d90cadcb1c66eae8df0c9dbd6e2c53c321e4bfdbeb6fd87

Observation bd60b025-e771-4200-8ac4-acb95a5359ef · outbound

This paper cites SOOD: towards semi- supervised oriented object detection.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions SOOD: towards semi- supervised oriented object detection

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.156619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.810677Z digest=sha256:c9ba8c7bdac5feb1cdb2265c6c169cb198721bb0d6cc2c4a220a3814757780d8

Observation ea2f0260-a73d-4b4e-b10a-0ebeed992040 · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:41.016389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.883264Z digest=sha256:77a382b111e604313961194e86a193f0b5c0b3ea0cdaa2ef1cd664312bc76cee

Observation e80d2524-822d-49e5-ab2e-14fa2c0dff6c · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:40.857201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:32.959495Z digest=sha256:1705336ceee57e3db2ee3baebd691bf1c6f7ac55ce4b5e2b2de8042d8c402ae6

Observation aeee1519-6bc4-4c52-bc5f-46baacbdcbb7 · outbound

This paper cites Adtrack: Target-aware dual filter learning for real-time anti-dark UA V tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adtrack: Target-aware dual filter learning for real-time anti-dark UA V tracking

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.681652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.046903Z digest=sha256:faf9ecb08ef44270c8f8fe211a72957ea0dd1db1c0311ba2aae19136abf6e450

Observation eab92a42-cf8f-470d-94ef-c31374cef24e · outbound

This paper cites Siamrpn++: Evolution of siamese visual tracking with very deep networks.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Siamrpn++: Evolution of siamese visual tracking with very deep networks

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.552589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.127210Z digest=sha256:63f3eb48343592d485443635d3ee62de93994355c10865a3f1ff7f029250dbf8

Observation 03f27a9e-6e7a-47ed-806e-334ed9578856 · outbound

This paper cites High performance visual tracking with siamese region proposal network.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions High performance visual tracking with siamese region proposal network

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.399249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.198842Z digest=sha256:5ff01ee0a17e98aaea45a0524a736caf7d51a9f01c868ce39c4baf73ce86b280

Observation d37d1f90-6179-4840-a4e3-2d631be04678 · outbound

This paper cites Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Visual object tracking for un- manned aerial vehicles: A benchmark and new motion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.257699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.255652Z digest=sha256:8aa82c3735f52fe85b15da6953a29b6f97d23513383d26fd3440ba443ac3d467

Observation c50c65f7-05f3-4bc9-9aae-d70a0f0e5a05 · outbound

This paper cites Training-Free Model Merging for Multi-target Domain Adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Training-Free Model Merging for Multi-target Domain Adaptation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.327921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.327921Z digest=sha256:1fe26b064315839490769f9debbddd681e2334623875414d1639a99bb0c78c7c

Observation 9cb90988-2679-4164-8f3a-a9e752aee3c3 · outbound

This paper cites Sigma: Semantic- complete graph matching for domain adaptive object detec- tion.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Sigma: Semantic- complete graph matching for domain adaptive object detec- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:40.085638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.393454Z digest=sha256:48f85f31be9b7b5bf39ae3e6720db6463e6fac010fa728a9d7ffdb702d2ce71d

Observation c81498ac-f67f-49db-974f-27896400e0a8 · outbound

This paper cites Learning adaptive and view-invariant vision transformer for real-time uav tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning adaptive and view-invariant vision transformer for real-time uav tracking

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.949909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.461395Z digest=sha256:e3aaf60e67c61401627fd3d3b739f21caaf26d53e5753659da0465e155628aa5

Observation 49277b98-29ac-47de-b6fc-acbec48ae24b · outbound

This paper cites Microsoft coco: Common objects in context.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Microsoft coco: Common objects in context

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.552628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.552628Z digest=sha256:3f08916bf9fdf08236a1e85ecb7f17ad0061248873e8322cdc9b2e47eadad4b0

Observation 738178a3-1397-4154-8885-e0bf1ea62e45 · outbound

This paper cites Breuel, and Jan Kautz.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Breuel, and Jan Kautz

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.808083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.622666Z digest=sha256:e79f22bc36be4263a6838933390660b6a13f2b6bedc0922dd375c707adfbb133

Observation 3ca2c4fc-c3be-4aeb-8261-cfc2783855e2 · outbound

This paper cites Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Mutual-Learning Knowledge Distillation for Nighttime UAV Tracking

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:33.693366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:33.693366Z digest=sha256:5a6f27e7619903a7c6ab7282cd69f87107b24c17ab500b333301f5f5d1347616

Observation 3ca8a324-9578-4f37-b0f2-f6df4d481995 · outbound

This paper cites Trackingnet: A large-scale dataset and benchmark for object tracking in the wild.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Trackingnet: A large-scale dataset and benchmark for object tracking in the wild

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.661713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.781164Z digest=sha256:d9c39ebf315e4cee8959fd71f087f37ef0a75bec5efe02bf2539adb758d66178

Observation b5e3f2c7-e884-4418-b16a-d56d6df6d877 · outbound

This paper cites GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions GLIDE: towards photorealistic image gen- eration and editing with text-guided diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.500287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.877587Z digest=sha256:3f652c00d8812a141fc026bfeaedb4375d9ce8005fcf129c2e328f4b847518a2

Observation 3d174cec-3858-4abe-848c-bc31f4c868b6 · outbound

This paper cites Avist: A benchmark for visual object tracking in adverse visibility.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Avist: A benchmark for visual object tracking in adverse visibility

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.363526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:33.936742Z digest=sha256:5b0a721ed0767e0fb0e8e089b10db753aeeae0db4ba28487d549efb576998c3e

Observation 4a6ac59d-5a32-4372-93eb-ced43d26f369 · outbound

This paper cites Zero-shot text-to-image generation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Zero-shot text-to-image generation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.247315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.020941Z digest=sha256:32c56f93e11a42245be0d5d5d2347fa629738c554c1f09b07fbe8625c27cd5c2

Observation ffe1a454-6013-4668-9e13-33cd11ef8b03 · outbound

This paper cites Generalized in- tersection over union: A metric and a loss for bounding box regression.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Generalized in- tersection over union: A metric and a loss for bounding box regression

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:39.094000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.079764Z digest=sha256:cf5170adb1cbf578859ce365857ad038d4c7aa7d2567ba545ff3eab08bc50662

Observation f2e84d14-5415-45ae-9ec1-abd15520d19d · outbound

This paper cites Focal loss for dense ob- ject detection.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Focal loss for dense ob- ject detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.960009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.149203Z digest=sha256:99d8586d6077f25577f0a2a23980b4d5662c4adb4abfadbee1220c5831f4886c

Observation ba862dd1-5cb9-434f-9bd3-5c39935e7f5e · outbound

This paper cites Curriculum graph co-teaching for multi- target domain adaptation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Curriculum graph co-teaching for multi- target domain adaptation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.815562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.222485Z digest=sha256:27597b4d6895572e3e11c3c26032db401beb657022b0bf28d798e3741e0425f8

Observation 8298791c-b9bb-4e45-a65a-265753889cc3 · outbound

This paper cites Adversarial diffusion distillation.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adversarial diffusion distillation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.657563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.307274Z digest=sha256:de7aa9cd9c52ff34ec1dfcd01e93df8273bdcd116ec58691d02d684b8312f1af

Observation b4680da1-dbce-4482-aca1-23a574687a66 · outbound

This paper cites Explicit visual prompts for visual object tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Explicit visual prompts for visual object tracking

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.491850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.366340Z digest=sha256:ef3e77fd2c4e470e21c4038635afc604870815ad437a27d0074f1933e9056d7f

Observation 3818e6f7-304b-4a22-a911-5fe955b73a75 · outbound

This paper cites Cross-modal pattern- propagation for RGB-T tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Cross-modal pattern- propagation for RGB-T tracking

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.363030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.437708Z digest=sha256:cf1c8601e77bbbcdb18aafe56b8f17a75ad79db1e0253af1ef115bc856805b37

Observation d3c68c48-62e7-4586-9f4e-8f8f7ccdaba5 · outbound

This paper cites Bovik, Hamid R.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Bovik, Hamid R

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.205659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.544541Z digest=sha256:a909f18dd2e95b9002527b517d9a7fdcb1ae09a767e3f443411768e513dfb6e9

Observation a825b701-71a3-4c90-b752-973cfa346667 · outbound

This paper cites Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Lvptrack: High per- formance domain adaptive UA V tracking with label aligned visual prompt tuning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:38.034747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.598230Z digest=sha256:e2ad73ab013f4d23c49a3c8fd032060b1a965a83ccfb5a71d91d67bfa093826e

Observation 7b597faf-8d04-45e1-9c83-3118bccee74f · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:37.869158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.677584Z digest=sha256:764a7e5927cb085642e972c277c0173494d9e5b582878cbf54a1fe11837cc80c

Observation 600b6f8c-1621-43ef-a2b8-47d48e6c77bb · outbound

This paper cites Autore- gressive queries for adaptive tracking with spatio-temporal transformers.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Autore- gressive queries for adaptive tracking with spatio-temporal transformers

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.701251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.787351Z digest=sha256:139375bf63c7994c1717a12930f599a69c657179e4fa8689e9559a0194639c0f

Observation 61775eb0-1719-4e19-a3bf-098a67e848a2 · outbound

This paper cites Depthtrack: Un- veiling the power of RGBD tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Depthtrack: Un- veiling the power of RGBD tracking

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.566486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.871154Z digest=sha256:06037320db6ffcb16a62ae5ffd7dbfcf18a5fe71207d5af4ee1ff6b2e4c69a9e

Observation 91cf556a-5034-4c3a-b25e-ed183300a370 · outbound

This paper cites Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unctrack: Reliable visual object tracking with uncertainty-aware prototype memory network

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.412798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:34.979079Z digest=sha256:6eba36165a3c52f34684045becc1c80fef79a78b3da5470531f5c124357d8e8b

Observation 53bcb3e0-9a24-458a-81ec-91ed2b90e924 · outbound

This paper cites Learning deep lucas-kanade siamese network for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Learning deep lucas-kanade siamese network for visual tracking

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.259200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.062015Z digest=sha256:ea07f42dc8e526e78f64fe029aa8e07932f9ed1b7adf06b4d2bb51386fdab080

Observation c484a9ed-38d9-4b1b-a1da-d9ccb551b26f · outbound

This paper cites Robust online tracking via con- trastive spatio-temporal aware network.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Robust online tracking via con- trastive spatio-temporal aware network

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:37.132969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.116375Z digest=sha256:03eb7f66f60bba772a6e42ef787480fc8972ef881313224726406d83d20b85b8

Observation f8e21fb7-b624-412a-9cd2-d638d49a6146 · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.986796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.193630Z digest=sha256:f31c9e6c9b859d5b24aee69754a03c1c92f717fa708101ac09ced9c93a59f10d

Observation cf175a08-120e-4b1a-bb61-e0ab2af32283 · outbound

This paper cites Darklighter: Light up the darkness for UA V track- ing.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Darklighter: Light up the darkness for UA V track- ing

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.885876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.288015Z digest=sha256:2e6bb598c5fe29e65dec7406f500d15f946a9e59be7e61f3d6c68fae7896fc8f

Observation 16ecfd38-a849-4918-810e-db98dde67519 · outbound

This paper cites Unsupervised domain adaptation for nighttime aerial tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unsupervised domain adaptation for nighttime aerial tracking

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.730293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.342865Z digest=sha256:61511acb7f64b6c0bdf9f179736a5006d03ecad78738cba094ea6ba6663e76b6

Observation 2e92f1f9-bf7f-4d1b-809f-842ada5eb197 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Adding conditional control to text-to-image diffusion models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.566726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.419809Z digest=sha256:e6e6249d49e143ab8d51ebfbfd64d23c554fcacce4beca79a121e42b40db0cd8

Observation eb8bdc73-71d7-4a6b-9b93-859b4bc8c9a0 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Efros, Eli Shechtman, and Oliver Wang

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.446348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.494491Z digest=sha256:20cb8266d7d6e6d67e43248ded6abcedc5bfdd08bdb0f3369b70e62986c75529

Observation a2340b03-7a35-4a85-a71b-0f8ce5460e97 · outbound

This paper cites Domain Adaptive SiamRPN++ for Object Tracking in the Wild.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Domain Adaptive SiamRPN++ for Object Tracking in the Wild

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:18:35.548926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:18:35.548926Z digest=sha256:37c9c6e842138104819657414e047b40b8fc242cda815acacfa0443ec22f3371

Observation 79e9ea22-94d5-42c6-a05f-5bf317b0a01e · outbound

This paper cites Odtrack: Online dense temporal token learning for visual tracking.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Odtrack: Online dense temporal token learning for visual tracking

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:36.292083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.621493Z digest=sha256:6b822e7ef0551a09d0812ac50a8e6eb929c399c69247a94301066561a3577843

Observation 3f6d04ef-9ac6-4b35-9f3b-c8408ff19a04 · outbound

This paper cites an unresolved cited work.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:18:36.128302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.688186Z digest=sha256:53c418bc6456578e575d26b677dec68f5f029efd19c2547996e11859fcf0944a

Observation a254e0d0-7055-4644-b90f-3d137d02c982 · outbound

This paper cites DCPT: darkness clue-prompted tracking in nighttime uavs.

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions DCPT: darkness clue-prompted tracking in nighttime uavs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:18:35.960280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:18:35.750104Z digest=sha256:efe2c9581c0cb5ddc05e577bdf117dc4465c543c669a567eaedb057e945cbc7a

Pith citing papers

No inbound Pith citation observations are available.